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    Uniform resource identifier decoration to enable connectivity for instant messaging providers serving non-authoritative namespaces
    2.
    发明申请
    Uniform resource identifier decoration to enable connectivity for instant messaging providers serving non-authoritative namespaces 审中-公开
    统一的资源标识符装饰，为即时通讯服务提供服务非权威性命名空间的连接

    公开(公告)号：US20070100944A1

    公开(公告)日：2007-05-03

    申请号：US11261052

    申请日：2005-10-28

    Applicant: Peter Ford ,  Arnold Blinn ,  Mark Gere ,  Paul Ming ,  Shreedhar Madhavapeddi ,  Kitty Leung ,  Ramesh Vyaghrapuri

    Inventor： Peter Ford ,  Arnold Blinn ,  Mark Gere ,  Paul Ming ,  Shreedhar Madhavapeddi ,  Kitty Leung ,  Ramesh Vyaghrapuri

    IPC: G06F15/16

    CPC classification number: H04L51/04 ,  H04L51/066

    Abstract: A technique for interconnecting users of different instant messaging services without requiring the users to change their account identifiers. A first user of a primary messaging service can communicate with a second user of a second, federated messaging service, where the first user is associated with a non-managed domain of the primary messaging service. When the first user sends a message to the second user, the primary messaging service decorates or modifies the first user's identifier as the sender so that the message, when received, appears to have come from a managed domain of the primary messaging service rather than from the non-managed domain. When a message from the second user is sent to the first user, the first user's identifier is undecorated in a reverse operation.

    Abstract translation: 用于互连不同即时消息服务用户的技术，而不需要用户更改其帐户标识符。 主消息接发服务的第一用户可以与第二联合消息服务的第二用户进行通信，其中第一用户与主消息服务的非管理域相关联。 当第一用户向第二用户发送消息时，主要消息收发服务将第一用户的标识符作为发送者进行装饰或修改，使得该消息在接收时似乎来自主要消息收发服务的受管理域，而不是来自 非管理域。 当来自第二用户的消息被发送到第一用户时，第一用户的标识符在反向操作中未装饰。

    Inferring household income for users of a social networking system
    3.
    发明授权
    Inferring household income for users of a social networking system 有权

    公开(公告)号：US08600797B1

    公开(公告)日：2013-12-03

    申请号：US13615476

    申请日：2012-09-13

    Applicant: Justin B Voskuhl ,  Ramesh Vyaghrapuri

    Inventor： Justin B Voskuhl ,  Ramesh Vyaghrapuri

    IPC: G06Q10/00

    CPC classification number: G06Q30/0254

    Abstract: Information about a set of users of a social networking system is obtained to develop a predictive model of income distribution for all users of the social networking system. This predictive model is based on selected attributes about the users (e.g., declared/profile information, user historical information, and/or social information). Users of the social networking system are mapped to a specific income bracket based on statistical correlations derived from the predictive model. Advertisements are targeted to users based on income bracket. The system may use a machine learning algorithm to analyze conversion rates of targeted advertising to retrain the predictive model.

    Inferring household income for users of a social networking system
    4.
    发明授权
    Inferring household income for users of a social networking system 有权
    为社会网络系统的用户推荐家庭收入

    公开(公告)号：US08583471B1

    公开(公告)日：2013-11-12

    申请号：US13338174

    申请日：2011-12-27

    Applicant: Justin B. Voskuhl ,  Ramesh Vyaghrapuri

    Inventor： Justin B. Voskuhl ,  Ramesh Vyaghrapuri

    IPC: G06Q10/00 ,  G06Q30/00

    CPC classification number: G06Q30/0254

    Abstract: Information about a set of users of a social networking system is obtained to develop a predictive model of income distribution for all users of the social networking system. This predictive model is based on selected attributes about the users (e.g., declared/profile information, user historical information, and/or social information). Users of the social networking system are mapped to a specific income bracket based on statistical correlations derived from the predictive model. Advertisements are targeted to users based on income bracket. The system may use a machine learning algorithm to analyze conversion rates of targeted advertising to retrain the predictive model.

    Abstract translation: 获得关于社交网络系统的一组用户的信息，以便为社交网络系统的所有用户开发收入分配的预测模型。 该预测模型基于关于用户的所选属性（例如，声明/简档信息，用户历史信息和/或社交信息）。 基于从预测模型得出的统计相关性，将社交网络系统的用户映射到特定的收入层。 广告根据收入支付针对用户。 该系统可以使用机器学习算法来分析目标广告的转换率以重新训练预测模型。

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